264 related articles for article (PubMed ID: 35568820)
21. An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation.
Hoseini F; Shahbahrami A; Bayat P
J Digit Imaging; 2018 Oct; 31(5):738-747. PubMed ID: 29488179
[TBL] [Abstract][Full Text] [Related]
22. MRI Brain Tumour Segmentation Using Hybrid Clustering and Classification by Back Propagation Algorithm.
M M; P S
Asian Pac J Cancer Prev; 2018 Nov; 19(11):3257-3263. PubMed ID: 30486629
[TBL] [Abstract][Full Text] [Related]
23. Fast level set method for glioma brain tumor segmentation based on Superpixel fuzzy clustering and lattice Boltzmann method.
Khosravanian A; Rahmanimanesh M; Keshavarzi P; Mozaffari S
Comput Methods Programs Biomed; 2021 Jan; 198():105809. PubMed ID: 33130495
[TBL] [Abstract][Full Text] [Related]
24. Automated brain tumor segmentation from multi-slices FLAIR MRI images.
Eltayeb EN; Salem NM; Al-Atabany W
Biomed Mater Eng; 2019; 30(4):449-462. PubMed ID: 31476145
[TBL] [Abstract][Full Text] [Related]
25. Comparative Approach of MRI-Based Brain Tumor Segmentation and Classification Using Genetic Algorithm.
Bahadure NB; Ray AK; Thethi HP
J Digit Imaging; 2018 Aug; 31(4):477-489. PubMed ID: 29344753
[TBL] [Abstract][Full Text] [Related]
26. DeepEOR: automated perioperative volumetric assessment of variable grade gliomas using deep learning.
Zanier O; Da Mutten R; Vieli M; Regli L; Serra C; Staartjes VE
Acta Neurochir (Wien); 2023 Feb; 165(2):555-566. PubMed ID: 36529785
[TBL] [Abstract][Full Text] [Related]
27. Cascaded mutual enhancing networks for brain tumor subregion segmentation in multiparametric MRI.
Momin S; Lei Y; Tian Z; Roper J; Lin J; Kahn S; Shu HK; Bradley J; Liu T; Yang X
Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35299156
[TBL] [Abstract][Full Text] [Related]
28. Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm.
Ranjbarzadeh R; Zarbakhsh P; Caputo A; Tirkolaee EB; Bendechache M
Comput Biol Med; 2024 Jan; 168():107723. PubMed ID: 38000242
[TBL] [Abstract][Full Text] [Related]
29. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.
Ottom MA; Rahman HA; Dinov ID
IEEE J Transl Eng Health Med; 2022; 10():1800508. PubMed ID: 35774412
[TBL] [Abstract][Full Text] [Related]
30. Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware.
Şişik F; Sert E
Med Hypotheses; 2020 Mar; 136():109507. PubMed ID: 31812927
[TBL] [Abstract][Full Text] [Related]
31. A review on brain tumor segmentation of MRI images.
Wadhwa A; Bhardwaj A; Singh Verma V
Magn Reson Imaging; 2019 Sep; 61():247-259. PubMed ID: 31200024
[TBL] [Abstract][Full Text] [Related]
32. DRRNet: Dense Residual Refine Networks for Automatic Brain Tumor Segmentation.
Sun J; Chen W; Peng S; Liu B
J Med Syst; 2019 Jun; 43(7):221. PubMed ID: 31177346
[TBL] [Abstract][Full Text] [Related]
33. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
[TBL] [Abstract][Full Text] [Related]
34. Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images.
Naceur MB; Saouli R; Akil M; Kachouri R
Comput Methods Programs Biomed; 2018 Nov; 166():39-49. PubMed ID: 30415717
[TBL] [Abstract][Full Text] [Related]
35. Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI.
Laukamp KR; Thiele F; Shakirin G; Zopfs D; Faymonville A; Timmer M; Maintz D; Perkuhn M; Borggrefe J
Eur Radiol; 2019 Jan; 29(1):124-132. PubMed ID: 29943184
[TBL] [Abstract][Full Text] [Related]
36. Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images.
Ghaffari M; Samarasinghe G; Jameson M; Aly F; Holloway L; Chlap P; Koh ES; Sowmya A; Oliver R
Magn Reson Imaging; 2022 Feb; 86():28-36. PubMed ID: 34715290
[TBL] [Abstract][Full Text] [Related]
37. Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network.
Cui S; Mao L; Jiang J; Liu C; Xiong S
J Healthc Eng; 2018; 2018():4940593. PubMed ID: 29755716
[TBL] [Abstract][Full Text] [Related]
38. Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images.
Pei L; Vidyaratne L; Rahman MM; Iftekharuddin KM
Sci Rep; 2020 Nov; 10(1):19726. PubMed ID: 33184301
[TBL] [Abstract][Full Text] [Related]
39. Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black-blood vessel wall MRI.
Wu J; Xin J; Yang X; Sun J; Xu D; Zheng N; Yuan C
Med Phys; 2019 Dec; 46(12):5544-5561. PubMed ID: 31356693
[TBL] [Abstract][Full Text] [Related]
40. Automatic segmentation of glioblastoma multiform brain tumor in MRI images: Using Deeplabv3+ with pre-trained Resnet18 weights.
Khodadadi Shoushtari F; Sina S; Dehkordi ANV
Phys Med; 2022 Aug; 100():51-63. PubMed ID: 35732092
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]